Query logs left by user on search-engines have helped create efficient tools for trend analysis, from commercial use to forecasting epidemics. In this paper, we propose a new method and system for cultural trends analysis based on Google auto-complete suggestions. We present Zeitgeist Borders, a toolkit enabling any user to collect and analyze associations between queries, suggestions and various regions of the world. We report unexpected observations about several behavioral and geographical trends along with promising uses.

MORE infos :


        hal_id = {hal-00805048},
        url = {},
        title = {{Toward Google Borders}},
        author = {Mazieres, Antoine and Huron, Samuel},
        keywords = {Digital humanities. Digital Studies. Human Factors. Cultural Trends. Autocompletion. Suggestion. Web. Reflexivity.},
        affiliation = {INRA , Laboratoire d'informatique Algorithmique : Fondements et Applications - LIAFA , Fabelier - Fabelier , AVIZ - INRIA Saclay - Ile de France , Institut de Recherche et d'Innovation - IRI},
        booktitle = {{Proceedings of the 2013 ACM Web Science}},
        address = {Paris, France},
        audience = {internationale },
        year = {2013},
        month = Apr,
        pdf = {},




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  • Antoine Mazieres, INRA, LIAFA and Fabelier
  • Samuel Huron, INRIA, IRI and Fabelier
  • Julien Palard, Melty and Fabelier